Embracing Your Role as a Scientist

This chapter discusses the writer’s identity in the context of their professional and personal communities. In particular, the chapter addresses opportunities and venues for communicating work beyond the written page. Examples include networking opportunities, oral presentations, and joining communities (both in-person and online).

On Black Affective Forms: A Conversation with Garrett Bradley

In this conversation—recorded in 2019 for the artist's first solo museum exhibition—New Orleans–based Garrett Bradley discusses her filmic work as well as its relationship to institutional archives and personal communities with art historian Huey Copeland. What emerges is a critical account of Bradley's evolving Black feminist practice—its inspirations, antecedents, and analogues—which puts pressure on filmic conventions to move toward an “affective resymbolization” of America's racial imaginaries and the means through which they might be contested, shared, and visualized for audiences on all sides of the color line.

Relationships in late life from a personal communities approach: perspectives of older people in Chile

Although the literature on social capital, social support and social networks uses the concept of emotional support, studies rarely recognise nuances of the emotional relationships in late life. Using a personal communities framework, we examine the subjective meaning of family and friendship ties that form the network of emotionally close relationships of a cohort of Chilean people between 60 and 74 years of age. Chile is an interesting case to investigate personal communities, as the country is facing both a rapid process of population ageing and the consequences of abrupt socio-cultural changes triggered by a military government. We conducted qualitative semi-structured interviews using personal communities diagrams that enabled study participants to reflect on what and how different types of personal ties were important to them. Data analysis included thematic analysis of interview transcripts and classification of identified personal communities using Pahl and Spencer's typology. The personal communities framework proved useful in capturing the composition of older people's networks of close relationships and in reflecting the diverse ways different ties are relevant in late life. We further developed a complementary typology based on the distinction between ‘clustered’ and ‘hierarchical’ personal communities. This complementary typology adds a cultural dimension to understand better emotional closeness in late life in a context of rapid socio-cultural changes affecting levels of social trust.

The influence of personal communities in understanding avoidable emergency department attendance: qualitative study

Background Use of emergency department (ED) care globally seems to be increasing at a faster rate than population growth (Baker, House of Commons Library. Accident and Emergency Statistics, Demand, Performance, 2017). In the UK there has been a reported 16% rise in emergency admissions over the past 5 years. Estimates that between 11 and 40% of ED attendances are non-urgent, with 11% of patients being discharged from the ED without treatment (NHS Digital 2017), and a further 44% require no follow-up treatment (NHS Digital, Hospital Accident and Emergency Activity 2016-17, 2019) is cited as evidence that these patients did not require this level of care. The solution to not using the most appropriate point in the system has traditionally been seen as a knowledge problem, requiring, improved sign-posting and information to enable people to self-manage or use health care management for minor ailments. However research about help-seeking behaviour suggests that the problem may not be an informational one. A considerable literature points to help seeking as a social process influenced by a range of contingencies and contextual factors including the way in which lay people influence health care utilisation (Giebel et al. BMJ Open 9:1, 2019). Personal communities comprise a variety of active and significant social ties which have potential to influence individual capacity to seek help. Here we extend and unpack further influencing decisions about seeking formal health care with reference to how they are shaped and informed by and within personal social networks. Methods We undertook a personal network mapping and qualitative interview-based study to look at, problematize and understand attendance for non-urgent problems. We used network analysis and methods to map and characterise the personal communities of people seeking help from ED for minor ailments and semi-structured interviews with 40 people attending a single ED and associated GP hub providing equivalent care. Interviews were built around an ego network mapping activity and a topic guide structured to explore attender’s narratives about why they had visited the ED. This ego network activity uses a diagram consisting of three concentric circles (Fiori et al. J Gerontol B-Psychol 62: 322-30, 2007), representing closest social network members (in the centre) and those at further distance. Participants were initially presented with one of these diagrams and asked to write names of people or resources that had played a role in their attendance and the interviewer probed the interviewee to discuss the actions, input and value of the people and services that supported the visit to the ED. Results We analysed number and type of network connections and undertook a thematic analysis to identify how imagined and actual network members and influences were implicated in ED attendance. The network maps created during the interviews were examined and a typology of networks was developed and used to distinguish different types of networks informed by our reading of the data, and a Network Typology Scoring Tool, a measure of frequency of contact and relationship type in networks. Conclusions Our study suggests that faced with acute minor illness or injury people’s networks narrow: they do not (and perhaps cannot) mobilise their imagined care network because the resources or connections may not be there or are difficult to engage. In addition we identified important system drivers of behaviour, notably that these patients are often directed to the ED by ‘professional influencers’ including health services staff.

Structure in personal networks: Constructing and comparing typologies

A recurrent finding in personal network research is that individual and social outcomes are influenced not just by the kind of people one knows, but also by how those people are connected to each other. Personal network structure – the way in which one’s personal contacts know and interact with each other – reflects broader trends in social organization and personal communities, and shapes patterns of social capital, support, and isolation. This article proposes a method to identify typologies of structure in large collections of personal networks. The method is applied to six datasets collected in widely different circumstances and using various survey instruments. It is then compared with another recently introduced method to extract typologies of egocentric network structure. Findings show that personal network structure can be effectively summarized using just three measures of cohesive subgroup characteristics. Structural typologies can then be identified by applying standard cluster analysis techniques to the three variables. Both methods considered in the article capture significant variation in network structures, but they also show substantial levels of disagreement and cross-classification. I discuss similarities and differences between the methods, and potential applications of the proposed typologies to substantive research on personal communities, social support, and social capital.

Instructional Real World Community Engagement

The impact of the instructional real-world community engagement upon the learner's cognitive understanding and subject matter attainment is recognized as a viable and integrally important element within the learner's instructional process. The integration of an active instructional engagement at the real-world community engagement level supports recognition of academic communities of engagement, personal communities of engagement, and professional communities of engagement. The academic community of engagement includes current course colleagues, prior course collegial support systems, and current and prior instructors. Within personal communities of engagement falls friends, family, and social connections. Within professional communities of engagement falls current work colleagues, prior work collegial support systems, and professional organization colleagues.